Forthcoming articles


International Journal of Comparative Management


These articles have been peer-reviewed and accepted for publication in IJCM, but are pending final changes, are not yet published and may not appear here in their final order of publication until they are assigned to issues. Therefore, the content conforms to our standards but the presentation (e.g. typesetting and proof-reading) is not necessarily up to the Inderscience standard. Additionally, titles, authors, abstracts and keywords may change before publication. Articles will not be published until the final proofs are validated by their authors.


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International Journal of Comparative Management (2 papers in press)


Regular Issues


  • Innovation Management in the World under Occidental Dominance and in a New Multipolar World: A Comparative Perspective   Order a copy of this article
    by Jurgen Poesche, Barbara Igel, Ilkka Kauranen 
    Abstract: This is a conceptual research study in the field of comparative management. For more than five centuries, the Occident has been an economic, military, and cultural dominating force throughout the world, but now this long trend is reversing. Non-Occidental countries are gaining momentum. China and India have become new world powers, anticipated to surpass the USA in economic might. The result will be global Occidental dominance being replaced by a multi-polar world. The objective of this study is to conduct a comparisonfocusing on implications to innovation managementbetween the world under Occidental dominance and the new multi-polar world. This approach is novel in comparative management. This study points out that multi-polarity will broaden the foundation for innovation, thus, giving rise to new and different innovation. Multi-polarity will enhance both the demand for and supply of innovation. An implication of multi-polarity for practice is that in multinational corporations operating in more than one major historical cultural sphere, it will be exceedingly difficult to maintain a uniform basis for the legitimation of innovation.
    Keywords: Comparative Management; Cognition; Culture; Diversity; Innovation; Legitimation; Multi-polarity.

  • The Intellectual Foundation of Supply Chain Management Performance Models: A Bibliometric Analysis and Synthesis   Order a copy of this article
    by Kottala Sri Yogi, Herbert Kotzab 
    Abstract: Recently, studies on supply chain management (SCM) performance measurement models or SCOR based performance models have received a great attention in the SCM domain. Given that, this paper aims to review the intellectual foundation of SCM performance models and propose a holistic view by identifying the associations of existing SCM models and performance measures. A bibliometric analysis is performed using a sample of 2340 articles published during the past three decades 1990-2017 and contributed by 4431 authors, in which these articles were published in 19 most influential journals ranked in the ABS Academic Journal Guide Rankings such as A*, A and B, and the Financial Times Rankings in Operations Management discipline. The cited-references and citations data were retrieved from the Web of Science (WoS). The bibliometric findings reveal that the International Journal of Production Economics (IJPE) has the highest number of published articles; the European Journal of Operational Research (EJOR) leads in terms of local-citations per article in a year. Using the HistCite, VOSviewer and Gephi applications, the evolution of research on performance measurement models since 1990 has been mapped; three major research clusters as theoretical foundations were identified based on the 30 highly-cited papers. Lastly, based on the most influential contributions to SCM performance models literature, we propose a conceptual framework for a promising future research in three management theories such as resource dependence, resource-based view, and transaction cost economics.
    Keywords: Supply chain management; Performance measures; Bibliometric analysis; HistCite; VOSviewer; Gephi; SCM performance models; SCM.